From machine learning engineering in San Francisco to data analysis in Washington, D.C., our M.S. in Data Science graduates build on the foundational academic and experiential education to further their careers in the fields of business, culture, medicine, politics, and more.  

2020 MSDS Employment Statistics

2019 MSDS Employment Statistics

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2015 MSDS Employment Statistics

Sample Job Titles

Associate
Consultant
Data Analyst
Data Engineer
Data Science Associate
Data Scientist
Deployment Strategist
Director of Data Science
Engagement Manager
Financial Engineering

Junior Data Analyst
Machine Learning Consultant
Machine Learning Engineer
Modeling & Simulation Specialist
Product Data Analyst
Research Associate
Research Data Engineer
Senior Associate Data Scientist
Senior Statistician
Systems Engineer

Sample Hiring Companies

Amazon
APT 
Argus
Bain & Company
Booz Allen Hamilton
Capital One
CCRi
Chewy
ComScore
Deloitte
Department of Defense
EY
Fannie Mae
Global Risk Intelligence
Green Bay Packers
Health IQ
Human Geo
IBM
Kaleo
KPMG

LMI
Merkle
Metis Machine
MITRE
National Institutes of Health
Nielsen
Northrop Grumman
Notch
Opex Analytics
Palantir
Procter & Gamble
PwC
RedHat
Riskspan
RS Energy
S&P Global Market Intelligence
Springbok
Thomson Reuters
U.S. Bank
Verisk Analytics

Alumni destinations map

Alumni Testimonial

Marissa Shand

“One of the beautiful things about data science is that it can be applied to many fields. If you are looking to extract knowledge and insights from data in your field, I would highly recommend pursing the M.S. in Data Science.” — Marissa Shand (MSDS '21), University of Virginia Pediatrics, Data Science Capstone Researcher